Instruction Mining: High-Quality Instruction Data Selection for Large Language Models paper page: https://
huggingface.co/papers/2307.06
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… Large language models typically undergo two training stages, pretraining and finetuning. Despite that large-scale pretraining endows the model with strong
RESEARCH
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Instruction Mining: High-Quality Data Selection for LLMs
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Robots Learning Manipulation from Human Video Demonstrations with Eye-in-Hand Cameras
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Giving Robots a Hand: Learning Generalizable Manipulation with Eye-in-Hand Human Demonstrations paper page: https://
huggingface.co/papers/2307.05
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… Eye-in-hand cameras have shown promise in enabling greater sample efficiency and generalization in vision-based robotic manipulation. -

NaViT: Vision Transformer for Flexible Aspect Ratios and Resolutions
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Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution paper page: https://
huggingface.co/papers/2307.06
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… The ubiquitous and demonstrably suboptimal choice of resizing images to a fixed resolution before processing them with computer vision models has not yet been -
Sarcastic critique of AI alignment solution timeline claims
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Congrats! You should join forces with the other company who just announced that they will solve AI alignment in <4 years. So you can both work on “solving the universe” once your are done with these more near-term projects.
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Claude 2 outperforms Bard and GPT 3.5 for article summarization
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I’ve been experimenting with Claude 2 to summarize some of your articles and develop draft questions for your MAICON session. It’s impressive. GPT 4 performs slightly better, but Claude 2 is clearly ahead of Bard, Pi, and GPT 3.5 for this use case.
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Stack More Layers Differently: High-Rank Training Through Low-Rank Updates
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Stack More Layers Differently: High-Rank Training Through Low-Rank Updates paper page: https://
huggingface.co/papers/2307.05
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… Despite the dominance and effectiveness of scaling, resulting in large networks with hundreds of billions of parameters, the necessity to train overparametrized models -

SITTA: Semantic Image-Text Alignment for Image Captioning
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SITTA: A Semantic Image-Text Alignment for Image Captioning paper page: https://
huggingface.co/papers/2307.05
591
… Textual and semantic comprehension of images is essential for generating proper captions. The comprehension requires detection of objects, modeling of relations between them, an -
Comparison Harms Collaboration in Competitive Research Environments
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In a competitive environment where everyone is succeeding, comparison is not only going to hurt you. It will make collaboration and one of the best parts of research–asking interesting questions–painful
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PhD Collaboration: Key to Success in Doctoral Studies
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You can certainly collaborate with other students. That's one of the best ways to get through the PhD–by finding people that will go through the grind with you!
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PhD exploration: ideal time for new research directions
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Early/mid-way through the PhD is a great time to explore and try new things.